Triple
T23917748
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sami Zayn |
E602126
|
entity |
| Predicate | socialCauseSupported |
P11348
|
FINISHED |
| Object | Syrian refugee relief |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Syrian refugee relief | Statement: [Sami Zayn, socialCauseSupported, Syrian refugee relief]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: socialCauseSupported Context triple: [Sami Zayn, socialCauseSupported, Syrian refugee relief]
-
A.
helpedCause
Indicates that one entity contributed to bringing about, enabling, or facilitating an outcome or event involving another entity.
-
B.
associatedCharity
Indicates that one entity has a formal or recognized charitable affiliation or partnership with another entity.
-
C.
civilSocietySupportedBy
Indicates that a civil society organization receives backing, assistance, or resources from a specified supporter or source.
-
D.
philanthropicInitiative
chosen
Indicates an action or relationship where an entity undertakes or supports activities intended to promote the welfare of others, typically through charitable or socially beneficial efforts.
-
E.
hasCharitableComponent
Indicates that something includes or is associated with a charitable element, such as donations, philanthropy, or support for a charitable cause.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69e2953a187081908346a9f36e85fc98 |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cf153c6c819084aca5c13437fa3d |
completed | April 29, 2026, 9:27 a.m. |
| PD | Predicate disambiguation | batch_69f16151ebdc819086e9e1d7cc1f4f3c |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:40 p.m.